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» Feature extraction and tracking for scanning range sensors
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ICRA
2007
IEEE
116views Robotics» more  ICRA 2007»
13 years 12 months ago
Using Boosted Features for the Detection of People in 2D Range Data
— This paper addresses the problem of detecting people in two dimensional range scans. Previous approaches have mostly used pre-defined features for the detection and tracking o...
Kai Oliver Arras, Óscar Martínez Moz...
AAAI
2010
13 years 7 months ago
A Layered Approach to People Detection in 3D Range Data
People tracking is a key technology for autonomous systems, intelligent cars and social robots operating in populated environments. What makes the task difficult is that the appea...
Luciano Spinello, Kai Oliver Arras, Rudolph Triebe...
ICCV
2011
IEEE
12 years 5 months ago
A robust pipeline for rapid feature-based pre-alignment of dense range scans
Aiming at reaching an interactive and simplified usage of high-resolution 3D acquisition systems, this paper presents a fast and automated technique for pre-alignment of dense ra...
Francesco Bonarrigo, Alberto Signoroni, Riccardo L...
3DPVT
2006
IEEE
186views Visualization» more  3DPVT 2006»
13 years 11 months ago
Range Image Registration Based on Circular Features
Range sensing technology allows the photo-realistic modeling of large-scale scenes, such as urban structures. A major bottleneck in the process of 3D scene acquisition is the auto...
Cecilia Chao Chen, Ioannis Stamos
3DPVT
2004
IEEE
136views Visualization» more  3DPVT 2004»
13 years 9 months ago
Efficient Model Creation of Large Structures based on Range Segmentation
This paper describes an efficient 3D modeling method from 3D range data-sets that is utilizing range data segmentation. Our algorithm starts with a set of unregistered 3D range sc...
Ioannis Stamos, Marius Leordeanu